CN104063444A - Method and device for generating thumbnail - Google Patents
Method and device for generating thumbnail Download PDFInfo
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- CN104063444A CN104063444A CN201410265913.6A CN201410265913A CN104063444A CN 104063444 A CN104063444 A CN 104063444A CN 201410265913 A CN201410265913 A CN 201410265913A CN 104063444 A CN104063444 A CN 104063444A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 210000000746 body region Anatomy 0.000 claims description 23
- 238000001514 detection method Methods 0.000 claims description 14
- 238000005516 engineering process Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 7
- 230000008901 benefit Effects 0.000 abstract description 2
- 238000003672 processing method Methods 0.000 abstract 2
- 230000006835 compression Effects 0.000 description 5
- 238000007906 compression Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 230000001747 exhibiting effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a method and a device for generating thumbnails. The method for generating the thumbnails comprises the steps of obtaining pictures to be processed; recognizing the types of the pictures to be processed; processing the pictures to be processed according to a processing method corresponding to the recognized types and generating corresponding thumbnails. The method for generating the thumbnails disclosed by the embodiment of the invention has the advantages that since the types of the pictures to be processed are recognized, the pictures to be processed are processed according to the processing method corresponding to the recognized types and the corresponding thumbnails are generated, the quality of the thumbnails is obviously improved, users can quickly and conveniently obtain picture information by viewing the thumbnails and the user experience is improved.
Description
Technical field
The present invention relates to field of computer technology, relate in particular to a kind of breviary map generalization method and apparatus.
Background technology
Along with the develop rapidly of internet and hardware terminal, user can utilize picture or the video resource of the terminal access magnanimity such as computer, smart mobile phone at any time.For allow user can be in the picture of magnanimity or video resource the interested content in location fast, can generate thumbnail to picture or video resource.User can understand the information such as the theme of picture or video resource and content fast by browsing the mode of thumbnail.
At present, the mode that generates thumbnail mainly contains two kinds: first kind of way is that the central area of cutting picture generates thumbnail, and another kind of mode is that picture is carried out to whole convergent-divergent, thereby generates thumbnail.
But in realizing the application's process, inventor finds that in prior art, at least there are the following problems: the main body in picture is not during the central area in picture, and first kind of way likely crops main body; When the ratio of the main body in picture in picture is too small, user possibly cannot see the main body in the thumbnail generating by the second way clearly.Above two kinds of thumbnails that mode generates, all cannot make user by browsing thumbnail, obtain pictorial information rapidly ideally to the main body of user's exhibiting pictures, cause poor user experience.
Summary of the invention
The embodiment of the present invention is intended to solve the problems of the technologies described above at least to a certain extent.
For this reason, first object of the present invention is to propose a kind of breviary map generalization method, and the method can significantly promote the quality of thumbnail, makes user by browsing thumbnail, obtain pictorial information quickly and easily, thereby promote user, experiences.
Second object of the present invention is to propose a kind of generating apparatus of thumbnail.
For reaching above-mentioned purpose, according to first aspect present invention embodiment, a kind of breviary map generalization method has been proposed, comprising: obtain pending picture; Described pending picture is carried out to type identification; And according to processing mode corresponding to the type with identifying, described pending picture is processed, generate corresponding thumbnail.
The breviary map generalization method of the embodiment of the present invention, by pending picture is identified, and according to processing mode corresponding to the type with identifying, pending picture is processed, generate corresponding thumbnail, significantly promoted the quality of thumbnail, make user by browsing thumbnail, obtain pictorial information quickly and easily, thereby promote user, experience.
For reaching above-mentioned purpose, the generating apparatus that has proposed a kind of thumbnail according to second aspect present invention embodiment, comprising: acquisition module, for obtaining pending picture; Identification module, for carrying out type identification to described pending picture; And generation module, for the processing mode that the type according to identifying is corresponding, described pending picture is processed, generate corresponding thumbnail.
The generating apparatus of the thumbnail of the embodiment of the present invention, by pending picture is identified, and according to processing mode corresponding to the type with identifying, pending picture is processed, generate corresponding thumbnail, significantly promoted the quality of thumbnail, make user by browsing thumbnail, obtain pictorial information quickly and easily, thereby promote user, experience.
Additional aspect of the present invention and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of breviary map generalization method according to an embodiment of the invention.
Fig. 2 is the process flow diagram of the breviary map generalization method of a specific embodiment according to the present invention.
Fig. 3 is the exemplary plot of the pending picture of a specific embodiment according to the present invention.
Fig. 4 is the exemplary plot of the thumbnail of the generation of a specific embodiment according to the present invention.
Fig. 5 is the structural representation of the generating apparatus of thumbnail according to an embodiment of the invention.
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of identical or similar functions from start to finish.Below by the embodiment being described with reference to the drawings, be exemplary, be intended to for explaining the present invention, and can not be interpreted as limitation of the present invention.
The breviary map generalization method of the embodiment of the present invention is described below with reference to accompanying drawing.
Fig. 1 is the process flow diagram of breviary map generalization method according to an embodiment of the invention.
As shown in Figure 1, this breviary map generalization method comprises:
S101, obtains pending picture.
In an embodiment of the present invention, can coil from net, obtain pending picture the network individual photograph album such as cloud photograph album, also can from the web page resources such as news, wireless search, obtain pending picture, the picture library that also can preserve from this locality, obtain pending picture.
S102, carries out type identification to pending picture.
In an embodiment of the present invention, can to pending picture, carry out type identification based on automatic image annotation technology.Wherein, the type of pending picture can comprise does not have for example landscape class of the picture of main body, also can comprise for example portrait class of picture that people and/or thing be used as main body.The principle that realizes of automatic image annotation technology is based on degree of depth learning algorithm, the artificial mark sample of magnanimity to be learnt, thereby obtain model of cognition, to realize, can carry out automatic classification mark to any unknown images.
S103, processes pending picture according to the processing mode that the type with identifying is corresponding, generates corresponding thumbnail.
In an embodiment of the present invention, for example, if pending picture (: in the time of landscape class), in order to retain more information, can carry out overall convergent-divergent processing to pending picture, thereby generate corresponding thumbnail belongs to the first kind.
For example, if pending picture (: in the time of portrait class), obtain the body region of pending picture, and generate thumbnail according to body region belongs to Second Type.
Particularly, when pending picture belongs to portrait class, can detect human face region based on human face detection tech, again according to people be bold little and certain proportion trunk, further detect portrait area, then using portrait area as body region, pending picture is carried out to the operations such as cutting, compression, finally generate thumbnail.
When pending picture belongs to the outstanding article class of the subject comparing, can detect marking area based on salient region of image detection technique.Particularly, it is mainly to utilize in pending picture the significantly contrast difference of main body and background existence that picture marking area detects, by analyze pending picture contrast at color space, obtain the conspicuousness value of each pixel again, with this, detect marking area.After detecting the marking area of pending picture, using marking area as body region, pending picture is carried out to the operations such as cutting, compression, finally generate thumbnail.
The breviary map generalization method of the embodiment of the present invention, by pending picture is identified, and according to processing mode corresponding to the type with identifying, pending picture is processed, generate corresponding thumbnail, significantly promoted the quality of thumbnail, make user by browsing thumbnail, obtain pictorial information quickly and easily, thereby promote user, experience.
Fig. 2 is the process flow diagram of the breviary map generalization method of a specific embodiment according to the present invention.
As shown in Figure 2, this breviary map generalization method comprises:
S201, inputs pending picture.
In pending picture, both comprise comparison sockdolager owner body, also comprised more outstanding main body of articles.
S202, detects human face region.
According to human face detection tech, detect human face region.
S203, calculates portrait area.
According to people be bold little and certain proportion trunk, calculate portrait area.
S204, calculates marking area.
Based on salient region of image detection technique, calculate marking area.
S205, merges portrait area and marking area.
Using the portrait area calculating and marking area as body region.
S206, body region cutting, generates thumbnail.
The body region that cuts out pending picture, generates thumbnail with this.
In an embodiment of the present invention, as shown in Figure 3, in pending picture, both comprised comparison sockdolager owner body, while also comprising more outstanding main body of articles, can, in conjunction with human face detection tech and salient region of image detection technique, detect portrait area and marking area.Finally, using detected portrait area and marking area as body region, pending picture is carried out to the operations such as cutting, compression, finally generate thumbnail.The thumbnail generating as shown in Figure 4.
The breviary map generalization method of the embodiment of the present invention, based on human face detection tech and salient region of image detection technique, detect portrait area and marking area and by the two fusion, with this, generate thumbnail, significantly promoted the quality of thumbnail, make user by browsing thumbnail, obtain pictorial information quickly and easily, thereby promote user, experience.
In order to realize above-described embodiment, the present invention also proposes a kind of generating apparatus of thumbnail.
Fig. 5 is the structural representation of the generating apparatus of thumbnail according to an embodiment of the invention.
As shown in Figure 5, the generating apparatus of this thumbnail comprises: acquisition module 110, identification module 120 and generation module 130.Wherein, generation module comprises: the first generation unit 131 and the second generation unit 132.
Particularly, acquisition module 110 is for obtaining pending picture.
In an embodiment of the present invention, the network individual photograph albums such as acquisition module 110 can coil from net, cloud photograph album, obtain pending picture, also can from the web page resources such as news, wireless search, obtain pending picture, the picture library that also can preserve from this locality, obtain pending picture.
Identification module 120 is for carrying out type identification to pending picture.
In an embodiment of the present invention, identification module 120 can carry out type identification to pending picture based on automatic image annotation technology.Wherein, the type of pending picture can comprise does not have for example landscape class of the picture of main body, also can comprise for example portrait class of picture that people and/or thing be used as main body.
Generation module 130 is processed pending picture for processing mode corresponding to the type according to identifying, and generates corresponding thumbnail.
Particularly, generation module 130 comprises: the first generation unit 131 and the second generation unit 132.
When the first generation unit 131 belongs to the first kind for definite pending picture, pending picture is carried out to overall convergent-divergent processing, generate corresponding thumbnail.
In an embodiment of the present invention, for example, if pending picture (: in the time of landscape class), in order to retain more information, the first generation unit 131 can carry out overall convergent-divergent processing to pending picture, thereby generates corresponding thumbnail belongs to the first kind.
When the second generation unit 132 belongs to Second Type for definite pending picture, obtain the body region of pending picture, and generate corresponding thumbnail according to body region.
If belonging to Second Type, pending picture (for example: in the time of portrait class), the second generation unit 132 can obtain the body region of pending picture, and according to body region generates thumbnail.Particularly, when pending picture belongs to portrait class, the second generation unit 132 can detect human face region based on human face detection tech, again according to people be bold little and certain proportion trunk, further detect portrait area, then using portrait area as body region, pending picture is carried out to the operations such as cutting, compression, finally generate thumbnail.
When pending picture belongs to the outstanding article class of the subject comparing, the second generation unit 132 can detect marking area based on salient region of image detection technique.Particularly, it is mainly to utilize in pending picture the significantly contrast difference of main body and background existence that picture marking area detects, by analyze pending picture contrast at color space, obtain the conspicuousness value of each pixel again, with this, detect marking area.After detecting the marking area of pending picture, the second generation unit 132 can carry out the operations such as cutting, compression using marking area as body region to pending picture, finally generate thumbnail.
The generating apparatus of the thumbnail of the embodiment of the present invention, by pending picture is identified, and according to processing mode corresponding to the type with identifying, pending picture is processed, generate corresponding thumbnail, significantly promoted the quality of thumbnail, make user by browsing thumbnail, obtain pictorial information quickly and easily, thereby promote user, experience.
In addition, term " first ", " second " be only for describing object, and can not be interpreted as indication or hint relative importance or the implicit quantity that indicates indicated technical characterictic.Thus, at least one this feature can be expressed or impliedly be comprised to the feature that is limited with " first ", " second ".In description of the invention, the implication of " a plurality of " is at least two, for example two, and three etc., unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, the terms such as term " installation ", " being connected ", " connection ", " fixing " should be interpreted broadly, and for example, can be to be fixedly connected with, and can be also to removably connect, or be integral; Can be mechanical connection, can be to be also electrically connected to; Can be to be directly connected, also can indirectly be connected by intermediary, can be the connection of two element internals or the interaction relationship of two elements, unless separately there is clear and definite restriction.For the ordinary skill in the art, can understand as the case may be above-mentioned term concrete meaning in the present invention.
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the feature of this embodiment or example description.In this manual, to the schematic statement of above-mentioned term not must for be identical embodiment or example.And, the specific features of description, structure, material or feature can one or more embodiment in office or example in suitable mode combination.In addition,, not conflicting in the situation that, those skilled in the art can carry out combination and combination by the feature of the different embodiment that describe in this instructions or example and different embodiment or example.
Although illustrated and described embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, and those of ordinary skill in the art can change above-described embodiment within the scope of the invention, modification, replacement and modification.
Claims (10)
1. a breviary map generalization method, is characterized in that, comprising:
Obtain pending picture;
Described pending picture is carried out to type identification; And
According to the processing mode that the type with identifying is corresponding, described pending picture is processed, generated corresponding thumbnail.
2. method according to claim 1, is characterized in that, described described pending picture is carried out to type identification, comprising:
Based on automatic image annotation technology, described pending picture is carried out to type identification.
3. method according to claim 1, is characterized in that, describedly according to processing mode corresponding to the type with identifying, described pending picture is processed, and generates corresponding thumbnail, comprising:
Determine when described pending picture belongs to the first kind, described pending picture is carried out to overall convergent-divergent processing, generate corresponding thumbnail; Or
Determine when described pending picture belongs to Second Type, obtain the body region of described pending picture, and generate corresponding thumbnail according to described body region.
4. method according to claim 3, is characterized in that, described in obtain the body region of described pending picture, comprising:
Detect the portrait area of described pending picture, and using described portrait area as described body region; And/or
Detect the marking area of described pending picture, and using the marking area of described pending picture as described body region.
5. method according to claim 4, is characterized in that, described in detect the portrait area of described pending picture, comprising: based on human face detection tech, detect human face region, according to described human face region, further detect described portrait area; Or
The described marking area that detects described pending picture, comprising:
Based on salient region of image detection technique, detect described marking area.
6. a generating apparatus for thumbnail, is characterized in that, comprising:
Acquisition module, for obtaining pending picture;
Identification module, for carrying out type identification to described pending picture; And
Generation module, processes described pending picture for the processing mode that the type according to identifying is corresponding, generates corresponding thumbnail.
7. device according to claim 6, is characterized in that, described identification module, specifically for:
Based on automatic image annotation technology, described pending picture is carried out to type identification.
8. device according to claim 6, is characterized in that, described generation module, comprising:
The first generation unit, while belonging to the first kind for definite described pending picture, carries out overall convergent-divergent processing to described pending picture, generates corresponding thumbnail; Or
The second generation unit, while belonging to Second Type for definite described pending picture, obtains the body region of described pending picture, and generates corresponding thumbnail according to described body region.
9. device according to claim 8, is characterized in that, described the second generation unit, specifically for:
Detect the portrait area of described pending picture, and using described portrait area as described body region; And/or
Detect the marking area of described pending picture, and using the marking area of described pending picture as described body region.
10. device according to claim 9, is characterized in that, described the second generation unit, specifically for:
Based on human face detection tech, detect human face region, according to described human face region, further detect described portrait area; Or
Based on salient region of image detection technique, detect described marking area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410265913.6A CN104063444A (en) | 2014-06-13 | 2014-06-13 | Method and device for generating thumbnail |
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| CN201410265913.6A CN104063444A (en) | 2014-06-13 | 2014-06-13 | Method and device for generating thumbnail |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268537A (en) * | 2014-10-14 | 2015-01-07 | 杭州淘淘搜科技有限公司 | Main body detection method based on complex commodity images |
| CN104461280A (en) * | 2014-11-03 | 2015-03-25 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104504104A (en) * | 2014-12-30 | 2015-04-08 | 百度在线网络技术（北京）有限公司 | Picture material processing method and device for search engine, and search engine |
| CN105956999A (en) * | 2016-04-28 | 2016-09-21 | 努比亚技术有限公司 | Thumbnail generating device and method |
| CN109063085A (en) * | 2018-07-26 | 2018-12-21 | 阿里巴巴集团控股有限公司 | Reduced graph generating method and device |
| CN109448001A (en) * | 2018-10-26 | 2019-03-08 | 山东世纪开元电子商务集团有限公司 | A kind of picture automatic cutting method |
| WO2020224488A1 (en) * | 2019-05-09 | 2020-11-12 | 华为技术有限公司 | Image processing method and apparatus, and device |
| CN112016548A (en) * | 2020-10-15 | 2020-12-01 | 腾讯科技（深圳）有限公司 | Cover picture display method and related device |
| CN114071244A (en) * | 2021-11-10 | 2022-02-18 | 广州博冠信息科技有限公司 | Method and device for generating live cover, computer storage medium and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102362491A (en) * | 2009-03-25 | 2012-02-22 | 日本胜利株式会社 | Thumbnail generation device and method of generating thumbnail |
| CN103092818A (en) * | 2013-02-21 | 2013-05-08 | 用友软件股份有限公司 | Thumbnail generation system of report table and thumbnail generation method |
| CN103119930A (en) * | 2010-10-04 | 2013-05-22 | Nec卡西欧移动通信株式会社 | Image display device, image list display method, and image list display program |
| US20130148880A1 (en) * | 2011-12-08 | 2013-06-13 | Yahoo! Inc. | Image Cropping Using Supervised Learning |
| CN103336787A (en) * | 2013-06-05 | 2013-10-02 | 百度在线网络技术（北京）有限公司 | Method and device for zooming webpage |
| US20140079339A1 (en) * | 2012-09-18 | 2014-03-20 | Inventec Corporation | System and method for zooming different regions in image at different scales |
-
2014
- 2014-06-13 CN CN201410265913.6A patent/CN104063444A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102362491A (en) * | 2009-03-25 | 2012-02-22 | 日本胜利株式会社 | Thumbnail generation device and method of generating thumbnail |
| CN103119930A (en) * | 2010-10-04 | 2013-05-22 | Nec卡西欧移动通信株式会社 | Image display device, image list display method, and image list display program |
| US20130148880A1 (en) * | 2011-12-08 | 2013-06-13 | Yahoo! Inc. | Image Cropping Using Supervised Learning |
| US20140079339A1 (en) * | 2012-09-18 | 2014-03-20 | Inventec Corporation | System and method for zooming different regions in image at different scales |
| CN103092818A (en) * | 2013-02-21 | 2013-05-08 | 用友软件股份有限公司 | Thumbnail generation system of report table and thumbnail generation method |
| CN103336787A (en) * | 2013-06-05 | 2013-10-02 | 百度在线网络技术（北京）有限公司 | Method and device for zooming webpage |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268537A (en) * | 2014-10-14 | 2015-01-07 | 杭州淘淘搜科技有限公司 | Main body detection method based on complex commodity images |
| CN104461280A (en) * | 2014-11-03 | 2015-03-25 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104504104A (en) * | 2014-12-30 | 2015-04-08 | 百度在线网络技术（北京）有限公司 | Picture material processing method and device for search engine, and search engine |
| CN104504104B (en) * | 2014-12-30 | 2018-09-07 | 百度在线网络技术（北京）有限公司 | Picture material processing method, device and search engine for search engine |
| CN105956999A (en) * | 2016-04-28 | 2016-09-21 | 努比亚技术有限公司 | Thumbnail generating device and method |
| CN105956999B (en) * | 2016-04-28 | 2020-08-28 | 努比亚技术有限公司 | Thumbnail generation device and method |
| CN109063085B (en) * | 2018-07-26 | 2021-07-13 | 创新先进技术有限公司 | Thumbnail generation method and device |
| CN109063085A (en) * | 2018-07-26 | 2018-12-21 | 阿里巴巴集团控股有限公司 | Reduced graph generating method and device |
| CN109448001B (en) * | 2018-10-26 | 2021-08-27 | 世纪开元智印互联科技集团股份有限公司 | Automatic picture clipping method |
| CN109448001A (en) * | 2018-10-26 | 2019-03-08 | 山东世纪开元电子商务集团有限公司 | A kind of picture automatic cutting method |
| WO2020224488A1 (en) * | 2019-05-09 | 2020-11-12 | 华为技术有限公司 | Image processing method and apparatus, and device |
| US12008761B2 (en) | 2019-05-09 | 2024-06-11 | Huawei Technologies Co., Ltd. | Image processing method and apparatus, and device |
| CN112016548A (en) * | 2020-10-15 | 2020-12-01 | 腾讯科技（深圳）有限公司 | Cover picture display method and related device |
| CN112016548B (en) * | 2020-10-15 | 2021-02-09 | 腾讯科技（深圳）有限公司 | Cover picture display method and related device |
| CN114071244A (en) * | 2021-11-10 | 2022-02-18 | 广州博冠信息科技有限公司 | Method and device for generating live cover, computer storage medium and electronic equipment |
| CN114071244B (en) * | 2021-11-10 | 2022-11-04 | 广州博冠信息科技有限公司 | Method and device for generating live cover, computer storage medium and electronic equipment |
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